{"id":315,"date":"2023-07-03T16:00:13","date_gmt":"2023-07-03T08:00:13","guid":{"rendered":"https:\/\/sigkg.cn\/ccks2023\/?page_id=315"},"modified":"2023-11-03T00:17:48","modified_gmt":"2023-11-02T16:17:48","slug":"%e5%bd%95%e7%94%a8%e8%ae%ba%e6%96%87%e5%88%97%e8%a1%a8","status":"publish","type":"page","link":"http:\/\/sigkg.cn\/ccks2023\/acceptedpapers\/","title":{"rendered":"\u5f55\u7528\u8bba\u6587\u5217\u8868"},"content":{"rendered":"\n

\u82f1\u6587\u8bba\u6587\u96c6\u5df2\u7ecf\u5728springer online\uff0c2023\u5e7411\u67081\u65e5\u81f32023\u5e7411\u670831\u65e5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4e0b\u9762\u7684\u7f51\u5740\u514d\u8d39\u4e0b\u8f7d\uff1a<\/strong>https:\/\/link.springer.com\/book\/10.1007\/978-981-99-7224-1<\/a><\/p>\n\n\n\n

\u4e2d\u6587\u8bba\u6587<\/h2>\n\n\n\n
12<\/td>Pan Shipeng, Turdi Tohti and Askar Hamdulla<\/td>\u57fa\u4e8eSoftLexicon\u548c\u5bf9\u6297\u8bad\u7ec3\u7684\u4e2d\u6587\u533b\u7597\u547d\u540d\u5b9e\u4f53\u8bc6\u522b<\/td><\/tr>
13<\/td>\u5b87 \u767d, \u5efa\u7ea2 \u674e and \u5a1c \u53f6<\/td>\u57fa\u4e8e\u63d0\u793a\u9a71\u52a8\u7684\u6570\u503c\u4fe1\u606f\u62bd\u53d6\u6a21\u578b<\/td><\/tr>
23<\/td>Yangya Yu, Qi Ye and Tong Ruan<\/td>\u57fa\u4e8e GAT \u548c RotatE \u77e5\u8bc6\u56fe\u8c31\u9519\u8bef\u68c0\u6d4b<\/td><\/tr>
24<\/td>Hui Wu, Xu Chen, Yongjun Jing and Shuyang Wang<\/td>MFA-SGWNN\uff1a\u57fa\u4e8e\u591a\u7279\u5f81\u805a\u5408\u8c31\u56fe\u5c0f\u6ce2\u795e\u7ecf\u7f51\u7edc\u7684\u50f5\u5c38\u7f51\u7edc\u68c0\u6d4b<\/td><\/tr>
28<\/td>Hongyin Zhu, Ke Liu, Zhongxiang Sun, Luyang Liu, Haonan Tong, Qunyang Lin and Chuang Zhang<\/td>\u57fa\u4e8e\u5b9e\u4f53\u8bed\u4e49\u805a\u5408\u7684\u5e38\u8bc6\u77e5\u8bc6\u56fe\u8c31\u5d4c\u5165\u5b66\u4e60\u65b9\u6cd5<\/td><\/tr>
42<\/td>Shuhan Wu, Wei Chen and Huaiyu Wan<\/td>\u7ed3\u5408\u5b9e\u4f53\u4e0a\u4e0b\u6587\u7684\u77e5\u8bc6\u56fe\u8c31\u94fe\u63a5\u9884\u6d4b<\/td><\/tr>
49<\/td>Mengsong Wu, Tong Zhu, Guoliang Zhang, Junfei Ren, Zijian Yu and Wenliang Chen<\/td>\u9762\u5411\u542b\u8868\u683c\u6587\u6863\u7684\u4e2d\u6587\u7bc7\u7ae0\u7ea7\u4e8b\u4ef6\u62bd\u53d6\u6a21\u578b<\/td><\/tr>
51<\/td>Jiajing Li, Zexin Dong, Sheng Li, Tao Meng, Xiaoqing Luo and Hongfei Yan<\/td>\u4e00\u79cd\u878d\u5408\u6bb5\u843d\u548c\u6587\u6863\u7279\u5f81\u7684\u91d1\u878d\u516c\u544a\u4e8b\u4ef6\u62bd\u53d6\u65b9\u6cd5<\/td><\/tr>
61<\/td>Zonghao Yang, Yushan Tan and Wenpeng Hu<\/td>\u57fa\u4e8e\u63d0\u793a\u5b66\u4e60\u7684\u4e8b\u4ef6\u62bd\u53d6\u65b9\u6cd5\u7efc\u8ff0<\/td><\/tr>
74<\/td>Shuohao Lin, Wei Chen, Zhishu Jiang, Shuyuan Zhao, Mengqi Liao, Zhiyu Zhang and Huaiyu Wan<\/td>\u81ea\u76d1\u7763\u77e5\u8bc6\u589e\u5f3a\u7684\u96f6\u6837\u672c\u6587\u672c\u5206\u7c7b\u65b9\u6cd5<\/td><\/tr>
78<\/td>\u6587\u5f6a \u90b5, \u5ddd\u6e90 \u8c08, \u8dc3\u9e64 \u9648 and \u6587\u4eae \u9648<\/td>\u57fa\u4e8e\u663e\u5f0f\u4e0e\u9690\u5f0f\u8bed\u4e49\u589e\u5f3a\u7684\u67e5\u8be2\u56fe\u6392\u5e8f\u6a21\u578b<\/td><\/tr>
82<\/td>\u4e8e \u5efa\u4e1a, \u9a6c \u94f6\u5dde, \u51af \u7fd4\u827a\u84dd and \u738b \u5fc6<\/td>\u57fa\u4e8e\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u7684\u53e4\u6c49\u8bed\u4e8b\u4ef6\u62bd\u53d6\u8bed\u6599\u5e93\u6784\u5efa<\/td><\/tr>
83<\/td>\u6587\u8fdc \u90b5, \u957f\u5f81 \u738b, \u96ea\u5cf0 \u82cf, \u667a\u8d85 \u95eb, \u5e7f\u519b \u5f20, \u8d8a \u5f20 and \u8339 \u674e<\/td>\u57fa\u4e8e\u591a\u5c42\u77e5\u8bc6\u611f\u77e5\u7684\u5730\u5740\u5b9e\u4f53\u8bc6\u522b\u65b9\u6cd5<\/td><\/tr>
84<\/td>\u8d8a \u5f20, \u957f\u5f81 \u738b, \u96ea\u5cf0 \u82cf, \u667a\u8d85 \u95eb, \u5e7f\u519b \u5f20, \u6587\u8fdc \u90b5 and \u8339 \u674e<\/td>\u57fa\u4e8e\u6807\u7b7e\u8bed\u4e49\u4fe1\u606f\u611f\u77e5\u7684\u5c11\u6837\u672c\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u65b9\u6cd5<\/td><\/tr>
85<\/td>Yan Qiao, Xuxiang Duan and Huan Gao<\/td>\u878d\u5165\u5355\u5143\u683c\u7ed3\u6784\u4fe1\u606f\u7684\u8868\u683c\u62bd\u53d6\u65b9\u6cd5<\/td><\/tr>
88<\/td>Qi Zhang, Xu Chen, Shuyang Wang and Yongjun Jing<\/td>\u52a8\u6001\u56fe\u795e\u7ecf\u7f51\u7edc\u94fe\u63a5\u9884\u6d4b\u7efc\u8ff0<\/td><\/tr>
89<\/td>Zhang Hao, Zou Jun and Jing Wan<\/td>\u5434\u95e8\u4e66\u753b\u591a\u6a21\u6001\u77e5\u8bc6\u56fe\u8c31\u6784\u5efa\u4e0e\u5e94\u7528\u63a2\u7d22<\/td><\/tr>
92<\/td>Hairong Wang and \u6d77\u8363 \u738b<\/td>\u5c40\u90e8-\u5168\u5c40\u7279\u5f81\u5f15\u5bfc\u7684\u56fe\u6587\u591a\u7ea7\u5173\u7cfb\u5206\u6790\u4e0e\u6316\u6398\u65b9\u6cd5<\/td><\/tr>
94<\/td>\u5468 \u5317\u4eac, \u738b \u6d77\u8363, \u738b \u6021\u68a6, \u9a6c \u8d6b and \u5f20 \u4e3d\u4e1d<\/td>RMCEIN\uff1a\u9879\u76ee\u90bb\u5c45\u4fe1\u606f\u5bf9\u6bd4\u589e\u5f3a\u7684\u63a8\u8350\u65b9\u6cd5<\/td><\/tr>
101<\/td>Xiulian Cui and Zhenghua Li<\/td>\u57fa\u4e8e\u5b9e\u4f8b\u7684\u8bcd\u6027\u6807\u6ce8\u6570\u636e\u9519\u8bef\u68c0\u6d4b<\/td><\/tr>
112<\/td>\u660e\u9f99 \u5b59, \u7eaf\u840d \u6b27\u9633, \u6c38\u5f6c \u5218 and \u6797 \u4efb<\/td>\u57fa\u4e8e\u5206\u5c42\u878d\u5408\u7b56\u7565\u548c\u4e0a\u4e0b\u6587\u4fe1\u606f\u5d4c\u5165\u7684\u591a\u6a21\u6001\u60c5\u7eea\u8bc6\u522b<\/td><\/tr>
115<\/td>Jing Hou, Xiaomei Deng and Pengwu Han<\/td>\u9762\u5411\u4e2d\u6587\u6807\u51c6\u7684\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u8bed\u6599\u5e93\u6784\u5efa<\/td><\/tr>
121<\/td>Jiesheng Ma, Ligeng Wang and Faming Li<\/td>CondGraph\uff1a \u4e00\u4e2a\u6761\u4ef6\u77e5\u8bc6\u56fe\u8c31\u7684\u5b58\u50a8\u548c\u67e5\u8be2\u7cfb\u7edf<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u82f1\u6587\u8bba\u6587<\/h2>\n\n\n\n
6<\/td>Jialong Tang, Hongyu Lin, Zhuoqun Li, Yaojie Lu, Xianpei Han and Le Sun<\/td>Harvesting Event Schemas from Large Language Models<\/a><\/td><\/tr>
7<\/td>Zhangquan Zhou, Chengbiao Yang, Qianqian Zhang and Shijiao Tang<\/td>Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2<\/a><\/td><\/tr>
9<\/td>Yaojia Lv, Zihao Zheng, Ming Liu and Bing Qin<\/td>Conditional Knowledge Graph: Design, Dataset and a Preliminary Model<\/a><\/td><\/tr>
15<\/td>Yichi Zhang and Wen Zhang<\/td>CausE: Towards Causal Knowledge Graph Embedding<\/a><\/td><\/tr>
17<\/td>Le Xiao, Xin Shan, Yuhua Wang and Miaolei Deng<\/td>Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information<\/a><\/td><\/tr>
18<\/td>Shaoru Guo, Yong Guan and Ru Li<\/td>Multi-Perspective Frame Element Representation for Machine Reading Comprehension<\/a><\/td><\/tr>
22<\/td>Liang Chen, Liu Jian and Xu Jinan<\/td>NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction<\/a><\/td><\/tr>
25<\/td>Haihua Xie, Xufei Chen, Xiaoqing Lyu, Lin Liu<\/td>A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation<\/a><\/td><\/tr>
31<\/td>Huanxuan Liao, Shizhu He, Yao Xu, Kang Liu and Jun Zhao<\/td>Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning<\/a><\/td><\/tr>
32<\/td>Bingjie Lu, Mingxin Lu, Yuyang Bian, Wenbo Zhou, Haowei Zhang, Gui Qiu and Weizhuo Li<\/td>ODKG: An Official Document Knowledge Graph for the Effective Management<\/a><\/td><\/tr>
45<\/td>Ye Wang, Yuan Zhong, Xu Zhang, Conghui Niu, Dong Yu and Pengyuan Liu<\/td>CCD-ASQP: A Chinese Cross-Domain Aspect Sentiment Quadruple Prediction Dataset<\/a><\/td><\/tr>
62<\/td>Haitao Wang, Jiale Zheng, Carvajal-Roca Ivan E., Linghui Chen and Mengqiu Bai<\/td>Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models<\/a><\/td><\/tr>
68<\/td>Jinkun Lin, Hongzheng Li, Chong Feng, Fang Liu, Ge Shi, Lei Lei, Xing Lv, Ruojin Wang, Yangguang Mei and Lingnan Xu<\/td>Move Structure Recognition in Scientific Papers with Saliency Attribution<\/a><\/td><\/tr>
69<\/td>Lifang Wu, Yan Chen, Jie Yang, Ge Shi, Xinmu Qi and Sinuo Deng<\/td>Event-Centric Opinion Mining via In-Context Learning with ChatGPT<\/a><\/td><\/tr>
71<\/td>Chao Tian, Tian Wang, Ding Zhan, Yubiao Chang, Xingyu Wu, Cui Chen, Xingjuan Cai, Endong Tong and Wenjia Niu<\/td>LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering<\/a><\/td><\/tr>
73<\/td>Yubiao Chang, Tian Wang, Chao Tian, Ding Zhan, Cui Chen, Xingyu Wu, Chunxia Liu, Endong Tong and Wenjia Niu<\/td>GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization<\/a><\/td><\/tr>
95<\/td>Lishuang Li, Huxiong Chen and Xueyang Qin<\/td>Feature Enhances Structured Reasoning Network for Question Answering<\/a><\/td><\/tr>
103<\/td>Shiyulong He, Sai Zhang, Xiaowang Zhang and Zhiyong Feng<\/td>Conversational Search based on Utterance-Mask-Passage post-training<\/a><\/td><\/tr>
107<\/td>Ying Wang, Xiaomeng Du, Pengyuan Liu and Dong Yu<\/td>Moral Essential Elements: MEE – A Dataset for Moral Judgement<\/a><\/td><\/tr>
109<\/td>Ke Chang and Ping Jian<\/td>Relation repository based adaptive clustering for Open Relation Extraction<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

\u82f1\u6587\u8bba\u6587\u96c6\u5df2\u7ecf\u5728springer online\uff0c2023\u5e7411\u67081\u65e5\u81f32023\u5e7411\u670831\u65e5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4e0b\u9762\u7684\u7f51 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full-width-page-template.php","meta":[],"_links":{"self":[{"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/pages\/315"}],"collection":[{"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/comments?post=315"}],"version-history":[{"count":10,"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/pages\/315\/revisions"}],"predecessor-version":[{"id":501,"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/pages\/315\/revisions\/501"}],"wp:attachment":[{"href":"https:\/\/sigkg.cn\/ccks2023\/wp-json\/wp\/v2\/media?parent=315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}